👁🗨 Tags for searching information on the channel:
🎛 Hardware: #boards #arduino #esp32 #stm32 #pico #cortex #hardware #raspberry #display #electronics
📥 Software: #cpp #rtos #programming #matlab #linux #software #operating_systems #python #fuzix #rust
⚖️ Algorithms: #artificial_intelligence #machine_learning
📒 Reading: #books #news #beginner #control #articles
🛠 Development: #design #projects
❓ Other: #art #experiments #gps #IoT #video
🎛 Hardware: #boards #arduino #esp32 #stm32 #pico #cortex #hardware #raspberry #display #electronics
📥 Software: #cpp #rtos #programming #matlab #linux #software #operating_systems #python #fuzix #rust
⚖️ Algorithms: #artificial_intelligence #machine_learning
📒 Reading: #books #news #beginner #control #articles
🛠 Development: #design #projects
❓ Other: #art #experiments #gps #IoT #video
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📟 Arduino PRO: PORTENTA H7
The promo video of a new pro development board presented on CES 2020.
H7's main processor is the dual core STM32H747 including a Cortex®M7 running at 480 MHz and a Cortex® M4 running at 240 MHz.
Use Portenta when performance is key, among other cases, we envision it to be part of:
▫️ High-end industrial machinery
▫️ Laboratory equipment
▫️ Computer vision
▫️ PLCs
▫️ Industry-ready user interfaces
▫️ Robotics controller
▫️ Mission-critical devices
▫️ Dedicated stationary computer
▫️ High-speed booting computation (ms)
More information...
#news #video #boards #arduino #python #stm32 #cortex
The promo video of a new pro development board presented on CES 2020.
H7's main processor is the dual core STM32H747 including a Cortex®M7 running at 480 MHz and a Cortex® M4 running at 240 MHz.
Use Portenta when performance is key, among other cases, we envision it to be part of:
▫️ High-end industrial machinery
▫️ Laboratory equipment
▫️ Computer vision
▫️ PLCs
▫️ Industry-ready user interfaces
▫️ Robotics controller
▫️ Mission-critical devices
▫️ Dedicated stationary computer
▫️ High-speed booting computation (ms)
More information...
#news #video #boards #arduino #python #stm32 #cortex
👍1
🎚 OSHChip (OpenSourceHardwareChip)
The most striking thing you see is that it is the size of a 16 pin DIP, and unlike other processor boards, it is designed from the start to be compatible with the white breadboards that are commonly used by electronic hobbyists, robotics projects, and oh so many hackaday projects.
Unlike other processor boards that are far larger, OSHChip can be plugged into the middle two rows of a bread board, and it doesn’t cover the connected holes that you will be connecting to.
Specifications:
▫️ ARM
▫️ 2.4 GHz Bluetooth Low Energy radio
▫️ Broad range of built-in Peripheral functions
▫️ 256 KBytes of Flash memory for program and data
▫️ 32 KBytes of SRAM
▫️ Support for in-system debugging including breakpoints
More information...
#boards #cortex
The most striking thing you see is that it is the size of a 16 pin DIP, and unlike other processor boards, it is designed from the start to be compatible with the white breadboards that are commonly used by electronic hobbyists, robotics projects, and oh so many hackaday projects.
Unlike other processor boards that are far larger, OSHChip can be plugged into the middle two rows of a bread board, and it doesn’t cover the connected holes that you will be connecting to.
Specifications:
▫️ ARM
Cortex-M0 32 bit (16 MHz)▫️ 2.4 GHz Bluetooth Low Energy radio
▫️ Broad range of built-in Peripheral functions
▫️ 256 KBytes of Flash memory for program and data
▫️ 32 KBytes of SRAM
▫️ Support for in-system debugging including breakpoints
More information...
#boards #cortex
📄 3 Advantages To Using A Multicore Microcontroller
Multicore microcontrollers undoubtedly provide development teams with many advantages to help them solve the problems with ever more complex systems.
The ability to separate the application into areas of concerns or domains is currently a leading driver for adopting multicore microcontrollers.
The ability to balance performance with energy consumption and distribute the workload are also major advantages when considering moving to a multicore solution.
While there are only a few multicore microcontrollers currently on the market, over the next decade we will undoubtedly find them in ever increasing numbers in our designs.
More information...
#articles #cortex #hardware
Multicore microcontrollers undoubtedly provide development teams with many advantages to help them solve the problems with ever more complex systems.
The ability to separate the application into areas of concerns or domains is currently a leading driver for adopting multicore microcontrollers.
The ability to balance performance with energy consumption and distribute the workload are also major advantages when considering moving to a multicore solution.
While there are only a few multicore microcontrollers currently on the market, over the next decade we will undoubtedly find them in ever increasing numbers in our designs.
More information...
#articles #cortex #hardware
🎚 Adafruit Feather RP2040
The Raspberry Pi Pico was the first microcontroller to feature Raspberry Pi’s RP2040 SoC, but a number of vendors are releasing their own third-party boards with added features. The latest and, so far, best is Adafruit’s Feather RP2040, which combines the popular Feather ecosystem and form factor with Raspberry Pi silicon.
Specifications:
▫️ RP2040 microcontroller chip designed by Raspberry Pi
▫️ Dual-core Arm Cortex M0+ processor, flexible clock running up to 133 MHz
▫️ 264KB of SRAM, and 8MB of on-board Flash memory
More information...
#boards #raspberry #pico #cortex #adafruit
The Raspberry Pi Pico was the first microcontroller to feature Raspberry Pi’s RP2040 SoC, but a number of vendors are releasing their own third-party boards with added features. The latest and, so far, best is Adafruit’s Feather RP2040, which combines the popular Feather ecosystem and form factor with Raspberry Pi silicon.
Specifications:
▫️ RP2040 microcontroller chip designed by Raspberry Pi
▫️ Dual-core Arm Cortex M0+ processor, flexible clock running up to 133 MHz
▫️ 264KB of SRAM, and 8MB of on-board Flash memory
More information...
#boards #raspberry #pico #cortex #adafruit
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🎚 ClearCore – An Arduino compatible Industrial I/O and Motion Controller
Teknic, a US-based manufacturer of servo motion control components, has designed ClearCore, a Microchip SAME53 Arm Cortex-M4 based industrial I/O and motion controller that can be programmed with the Arduino IDE for quick prototyping, or Atmel Studio 7 with a more advanced C++ API for more complex projects.
ClearCore offers four motion axes, 24-volt compatible analog and digital I/O, support for I/O expansion modules, as well as serial and/or Ethernet connectivity via RJ45 ports. Multiple ClearCore can also be daisy-chained for larger applications.
Specifications:
▫️ Microchip: SAME53 Arm Cortex-M4F microcontroller clocked at up to 120 MHz, with 512 KB flash, 192 KB of SRAM
▫️ Storage: MicroSD card slot
▫️ Power Supply: 12-24V DC via 3-pin terminal block
▫️ Connectivity: 1x 10/100M Fast Ethernet RJ45 port
▫️ Dimensions: 12.7 x 8.9 x 2.54 cm
More information:
Review article
Product page
#boards #cortex #cpp
Teknic, a US-based manufacturer of servo motion control components, has designed ClearCore, a Microchip SAME53 Arm Cortex-M4 based industrial I/O and motion controller that can be programmed with the Arduino IDE for quick prototyping, or Atmel Studio 7 with a more advanced C++ API for more complex projects.
ClearCore offers four motion axes, 24-volt compatible analog and digital I/O, support for I/O expansion modules, as well as serial and/or Ethernet connectivity via RJ45 ports. Multiple ClearCore can also be daisy-chained for larger applications.
Specifications:
▫️ Microchip: SAME53 Arm Cortex-M4F microcontroller clocked at up to 120 MHz, with 512 KB flash, 192 KB of SRAM
▫️ Storage: MicroSD card slot
▫️ Power Supply: 12-24V DC via 3-pin terminal block
▫️ Connectivity: 1x 10/100M Fast Ethernet RJ45 port
▫️ Dimensions: 12.7 x 8.9 x 2.54 cm
More information:
Review article
Product page
#boards #cortex #cpp
🎚 SigmaStar SSD210 tiny dual-core Arm Cortex-A7 SoC comes with 64MB RAM, RGB display interface
SigmaStar offers some of the cheapest Cortex-A7 processors on the market, especially considering they usually integrated 64 or 128MB RAM, which parts like SSD201 or SSD202 which are designed for smart displays, but can also be found in low-cost Linux gateways.
Specifications:
▫️ CPU – Dual-core Arm Cortex-A7 at up to 1.0GHz with FPU, NEON, MMU, DMA
▫️ GPU – 2D graphics accelerator
▫️ System Memory – 64MB on-chip DDR2 RAM
▫️ Storage I/F – 1/2/4 bit SPI-NOR/SPI-NAND Flash
▫️ Display – RGB LCD interface supporting RGB565 or RGB666 or RGB888 format up to 60 fps.
▫️ Input/output voltage – 1.8V~3.3V
▫️ Package – QFN68 (7x7mm)
More information...
#boards #cortex
SigmaStar offers some of the cheapest Cortex-A7 processors on the market, especially considering they usually integrated 64 or 128MB RAM, which parts like SSD201 or SSD202 which are designed for smart displays, but can also be found in low-cost Linux gateways.
Specifications:
▫️ CPU – Dual-core Arm Cortex-A7 at up to 1.0GHz with FPU, NEON, MMU, DMA
▫️ GPU – 2D graphics accelerator
▫️ System Memory – 64MB on-chip DDR2 RAM
▫️ Storage I/F – 1/2/4 bit SPI-NOR/SPI-NAND Flash
▫️ Display – RGB LCD interface supporting RGB565 or RGB666 or RGB888 format up to 60 fps.
▫️ Input/output voltage – 1.8V~3.3V
▫️ Package – QFN68 (7x7mm)
More information...
#boards #cortex
🎛 Top 5 most powerful Arm SBCs & Devkits in 2021
While companies like Hardkernel, Raspberry Pi, Orange Pi, and FriendlyArm offers affordable, great little Arm Linux development boards that are suitable for many projects, in some cases, your requirements may lead you to spend a bit more for either extra CPU power, more memory, AI processing power, faster I/Os and so on.
▫️ Snapdragon 888 Mobile Hardware Development Kit
Equipped with Snapdragon 888 octa-core processor (1x Cortex-X1 core, 3x Cortex-A78 cores, and 4x Cortex-A55 cores), the board also boasts 12GB of LPDDR5 RAM, and 256GB of UFS storage, HDMI 2.0 & DisplayPort 1.4 video outputs, support for up to six cameras, and much more.
▫️ Jetson AGX Xavier for AI & Robotics
Jetson AGX Xavier developer kit is the most powerful of the lot with an 8-core ARM v8.2 processor, a 512-core Volta GPU, and AI accelerators that deliver up to 32TOPS of processing power for AI workloads. The kit also integrates 32GB RAM, 32GB eMMC flash expandable with a UFS card, HDMI 2.0 and MIPI DSI video interface, up to 16x 2-lane CSI camera interface, and more.
▫️ Qualcomm RB5 Robotics Platform
The board is equipped with Qualcomm QRB5165 octa-core Kryo 858 (Cortex-A77) CPU @ up to 2.84 GHz, 16GB of LPDDR5 RAM, 128 GB of UFS3.0 storage, 15 TOPS of AI processing power, supports 3D depth cameras and offers plenty of expansion I/Os.
The platform can run Linux, Ubuntu, and Robot Operating System (ROS) 2.0, and supports OpenCL and OpenGL ES APIs, as well as OpenCV for computer vision applications.
▫️ HoneyComb LX2K SBC
SolidRun HoneyComb LX2K Arm SBC features an NXP LX2160A 16-core Arm Cortex-A72 processor, supports up to 64GB RAM, offers high-speed networking thanks to up to 4x SFP+ 10GbE cages and a Gigabit Ethernet port, as well as four SATA ports, a PCIe x8 slot, M.2 SSD slot and more.
▫️ Khadas VIM3 Pro SBC
Khadas VIM3 Pro SBC may seem out of place in this list with an hexa-core Cortex-A73/A53 Amlogic A311D processor, coupled with a paltry 4GB of RAM and a 32GB eMMC flash, but that’s still a powerful platform, for instance, compared to Raspberry Pi 4 8GB, and it also includes of 5 TOPS NPU, offers good networking with Gigabit Ethernet and 802.11ac Wi-Fi 5 with RSDB support, and higher capacity and faster storage is possible via an M.2 NVMe SSD.
More information...
#articles #hardware #boards #cortex
While companies like Hardkernel, Raspberry Pi, Orange Pi, and FriendlyArm offers affordable, great little Arm Linux development boards that are suitable for many projects, in some cases, your requirements may lead you to spend a bit more for either extra CPU power, more memory, AI processing power, faster I/Os and so on.
▫️ Snapdragon 888 Mobile Hardware Development Kit
Equipped with Snapdragon 888 octa-core processor (1x Cortex-X1 core, 3x Cortex-A78 cores, and 4x Cortex-A55 cores), the board also boasts 12GB of LPDDR5 RAM, and 256GB of UFS storage, HDMI 2.0 & DisplayPort 1.4 video outputs, support for up to six cameras, and much more.
▫️ Jetson AGX Xavier for AI & Robotics
Jetson AGX Xavier developer kit is the most powerful of the lot with an 8-core ARM v8.2 processor, a 512-core Volta GPU, and AI accelerators that deliver up to 32TOPS of processing power for AI workloads. The kit also integrates 32GB RAM, 32GB eMMC flash expandable with a UFS card, HDMI 2.0 and MIPI DSI video interface, up to 16x 2-lane CSI camera interface, and more.
▫️ Qualcomm RB5 Robotics Platform
The board is equipped with Qualcomm QRB5165 octa-core Kryo 858 (Cortex-A77) CPU @ up to 2.84 GHz, 16GB of LPDDR5 RAM, 128 GB of UFS3.0 storage, 15 TOPS of AI processing power, supports 3D depth cameras and offers plenty of expansion I/Os.
The platform can run Linux, Ubuntu, and Robot Operating System (ROS) 2.0, and supports OpenCL and OpenGL ES APIs, as well as OpenCV for computer vision applications.
▫️ HoneyComb LX2K SBC
SolidRun HoneyComb LX2K Arm SBC features an NXP LX2160A 16-core Arm Cortex-A72 processor, supports up to 64GB RAM, offers high-speed networking thanks to up to 4x SFP+ 10GbE cages and a Gigabit Ethernet port, as well as four SATA ports, a PCIe x8 slot, M.2 SSD slot and more.
▫️ Khadas VIM3 Pro SBC
Khadas VIM3 Pro SBC may seem out of place in this list with an hexa-core Cortex-A73/A53 Amlogic A311D processor, coupled with a paltry 4GB of RAM and a 32GB eMMC flash, but that’s still a powerful platform, for instance, compared to Raspberry Pi 4 8GB, and it also includes of 5 TOPS NPU, offers good networking with Gigabit Ethernet and 802.11ac Wi-Fi 5 with RSDB support, and higher capacity and faster storage is possible via an M.2 NVMe SSD.
More information...
#articles #hardware #boards #cortex